Evidence map›Paper›PMID 42470294›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Field-Programmed Anisotropy in Magneto-Piezoelectric Composites for Material-Encoded Mechanoperception.

Yubin Kim, Yumin Kwon, Dabin Kim, Minsun Oh, Jin Young Jung, Dongyeong Gim, Kootak Hong, Jun Yeon Hwang, Sang-Woo Kim, Minjeong Ha

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yubin KimDepartment of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Yumin KwonDepartment of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Dabin KimDepartment of Materials Science and Engineering, Center for Human-oriented Triboelectric Energy Harvesting, Yonsei University, Seoul, Republic of Korea.
Minsun OhDepartment of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Jin Young JungInstitute of Advanced Composite Materials, Korea Institute of Science and Technology, Jeonbuk, Republic of Korea.
Dongyeong GimDepartment of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Kootak HongDepartment of Materials Science and Engineering, Chonnam National University, Gwangju, Republic of Korea.ORCID https://orcid.org/0000-0001-7402-5356
Jun Yeon HwangInstitute of Advanced Composite Materials, Korea Institute of Science and Technology, Jeonbuk, Republic of Korea.ORCID https://orcid.org/0000-0002-2296-974X
Sang-Woo KimDepartment of Materials Science and Engineering, Center for Human-oriented Triboelectric Energy Harvesting, Yonsei University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-0079-5806
Minjeong HaDepartment of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.ORCID https://orcid.org/0000-0002-6635-7462

Funding

Ministry of Science and ICT, South KoreaNational Research Foundation of Korea RS-2024-00407155National Research Foundation of Korea RS-2025-25442536
6 · The paper itself

Abstract

Decoupling superposed force vectors along spatially distinct axes is a prerequisite for artificial somatosensation in soft intelligent systems. Although polymer-piezoelectric composites offer essential compliance, randomly distributed nanofillers result in a loss of inherent polar directionality and macroscopic anisotropy, which prevents force-vector discrimination. Here, we address this challenge by encoding force-mode selectivity into magneto-piezoelectric composites via field-programmed anisotropy. Guided by a rigorous torque-balance framework, we achieve the deterministic spatial alignment of Fe

Indexed as

anisotropydecoupled mechanosensingmagnetic‐field alignmentpiezoelectric compositesoft robotics

Identifiers

PMID42470294
PMCPMC13508759

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.